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On Analyzing the Blocking Probability of M2M Transmissions for a CQI-Based RRM Scheme Model in 3GPP LTE

  • Konstantin Samouylov
  • Irina Gudkova
  • Ekaterina MarkovaEmail author
  • Iliya Dzantiev
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 638)

Abstract

Machine type communications (MTC) or machine-to-machine (M2M) services become one of the drivers towards 5th generation (5G) wireless network. Various MTC devices such as smart meters and sensors form the basis of smart cites and homes. The question is how to efficiently transmit the information from MTC devices via a wireless network, which is primarily used for human-to-human (H2H) communications. Nevertheless, one of the important qualities of service (QoS) measure is still blocking probability. In the simplest case, the Erlang B formula is used to calculate the blocking probability. A more precise value can be obtained considering the MTC devices positons within a cell and applied radio resource management (RRM) mechanisms. First of all, it is expressed in the distances from the devices to eNodeB. In the paper, following the approach of including the stochastic distance in the queuing system, we propose formulas for calculating stationary probability distribution in product form considering a channel quality indicator (CQI) reported by MTC devices. Two RRM schedulers working according to the round robin policy (RRP) and full power policy (FPP) are considered. The former assumes full occupation of a time frame by all MTC devices and a variable devices’ power such that to achieve a needed uplink bit rate. The latter assumes a constant power and variable time frame occupation.

Keywords

Wireless network LTE Machine-to-machine M2M devices Channel quality indicator CQI Round robin Full power Queuing system Erlang B formula Stochastic distance Blocking probability 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Konstantin Samouylov
    • 1
  • Irina Gudkova
    • 2
  • Ekaterina Markova
    • 1
    Email author
  • Iliya Dzantiev
    • 1
  1. 1.RUDN UniversityMoscowRussian Federation
  2. 2.Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of Russian Academy of SciencesRUDN UniversityMoscowRussian Federation

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